Scale

AI Solutions

Custom AI assistants, document automation and predictive workflows — scoped around a measurable business problem, not a demo.

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Starting from: ₹125,000
Typical timeline: 4–12 weeks
Post-launch support: 30 days

Overview

AI that removes real work

Most AI projects fail because they start with the technology. We start with a task your team repeats every day, measure what it costs, then build the smallest system that removes it. Retrieval over your own documents, human review where accuracy matters, and honest numbers on what it saved.

Tools we use

Claude APIOpenAILangChainVector databasesPythonLaravelHugging Face

Support assistants

Chat and email assistants grounded in your own documentation, with clean handoff to a human when confidence drops.

Document processing

Invoices, contracts and forms turned into structured data your systems can use, with review queues for edge cases.

Decision support

Forecasting, lead scoring and anomaly detection wired into the tools your team already opens every morning.

Governed and auditable

Data boundaries, prompt versioning, evaluation sets and logging — so you can explain what the system did and why.

Deliverables

What you actually receive

Everything below is included in the quoted price. If something is not on this list, we will tell you before it becomes a line item.

Use-case assessment with projected ROI
Working AI system integrated with your tools
Retrieval pipeline over your own data
Evaluation suite and accuracy benchmarks
Admin dashboard with usage and cost tracking
Team training and operating documentation

Process

How a AI Solutions project runs

Four stages, each ending in something you can see and approve before we move on.

Find the expensive task

We look at where your team spends repetitive hours and estimate what automating it is worth.

Prove it small

A narrow pilot on real data, measured against a baseline, before anyone commits to a full build.

Build and integrate

Production system wired into your existing tools, with guardrails and human review where it matters.

Measure and tune

Accuracy tracking, cost monitoring and iteration once real usage exposes the edge cases.

Testimonials

What clients say

Replace this with a real client quote from your own projects. Keep it specific: what the problem was, what changed, and a number if you have one.

P Placeholder — replace before launchFounder, Client company

A second placeholder quote. Real testimonials with a name, role and company convert far better than anonymous praise, and they are the only kind you can legally publish.

P Placeholder — replace before launchOperations Head, Client company

A third placeholder. Ask clients for one sentence on the outcome and one on what it was like to work with you — that pairing is what readers are looking for.

P Placeholder — replace before launchMarketing Manager, Client company

By city

AI Solutions where you are

Same team, same process. These pages cover what the work looks like in each market.

Jaipur Delhi NCR Mumbai Bangalore Hyderabad Pune Ahmedabad Chennai

FAQ

AI Solutions — your questions answered

Still unsure about something? Ask us directly — we answer every message ourselves.

Ask a question

Will our data be used to train models?

No. We use enterprise API tiers where your inputs are not used for training, and for sensitive workloads we can deploy open models in your own environment.

How accurate will it be?

That depends on the task, which is why we build an evaluation set from your real data before committing. You see measured accuracy on your own examples, not a vendor benchmark.

What does it cost to run?

API usage is billed per token and typically lands between a few hundred and a few thousand rupees a month for internal tools. We size it during the pilot and build cost tracking into the dashboard.

Where should we start?

Start with a task that is high volume, repetitive and where a wrong answer is recoverable. Customer support triage and document data entry are usually the fastest wins.